サッシャ Sascha
🇩🇪🇯🇵 @jwave813fm @stepone813 @kinro_ntv @jsports @dazn_jpn @oggi_jp @nhk_anitella @summer_sonic @tohocinemas_m フィナンシェhttps://sascha348.com/
100,897
Followers
7,383
Following
64,041
Tweets
318.5
Avg Engagement
2,971
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sascha348's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2007-05-20
- Verification:No
- Location:Tokyo
Data Summary
- Tweets Analyzed:3,235
- Avg Likes per Tweet:217.0
- Avg Retweets per Tweet:101.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,235 tweetsThe account has a high average engagement rate with likes and retweets, indicating a dedicated and interactive follower base. Their tweets often include links and hashtags, which contribute to their visibility and reach.
217.0
Avg Likes/Tweet
101.5
Avg Retweets/Tweet
701,910
Total Likes
328,324
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
25
Median Likes
10
Median Retweets
255
75th Percentile
58,386
Top Tweet
3.16
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
36.1%
Original
13.7%
Replies
34.5%
Retweets
15.7%
Quotes
0.0%
Threads
0.2%
With Media
75.4%
With Links
49.6%
With #Tags
66.7%
With @Mentions
32.3%
With Emojis
104
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.45
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.8%
Weekday Posts
26.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,235 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 1,117 retweets (35% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,235 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,000 followersThe audience is primarily interested in Japanese music, anime, and sports events, especially F1 and motorsports. They are likely fans of Japanese pop culture and live performances.
Good
Audience Quality
18.6%
Suspicion Index
25.4%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.5%
Empty Bio
22.3%
<10 Tweets
6.6%
Mass Following (>2K)
0.0%
New (<90 days)
36.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.9%
No URL
15.4%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
11,793,086
Total Potential Reach
39
Median Follower Reach
198
75th Percentile Reach
6.1%
>1K followers
1.1%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
59.9%
Creators
5,988 accounts
17.8%
Consumers
1,782 accounts
22.3%
Dormant
2,230 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
85
Verified Followers
0.85% of total
1,508
Protected Accounts
15.08% of total
6 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @shouta0811aoi | 1,010,263 | Singer | Music, Tarot, Support |
| @Mari_navi | 701,216 | 声優 | Voice Acting, Technology, Struggle |
| @mggyy | 700,208 | YouTuber | Cars, YouTube, BTS |
| @nauru_japan | 459,744 | Tourism | tourism, government, promotion |
| @Hysteric_Barbie | 416,805 | Voice Actress | music, theater, reading |
| @sayahiyama_1027 | 416,756 | Weathercaster | Anime, Books, Games |
| @AliceProject_mb | 357,145 | Idol | Music, Idol, Performance |
| @tabbata | 317,188 | Entrepreneur | Education, Media, Startups |
| @natori_kurumi | 297,706 | Gravure Idol | Gravure modeling, Lingerie, Racing |
| @panther_mukai | 266,080 | Comedian | back number, music, comedy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,451
Followers With Bio
3,549
Followers Without Bio
64.51%
% With Bio
35.49%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,235 analyzed106,420
Combined Engagement
7,940
Total Likes
98,480
Total Retweets
21,284
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Violet_Letter: 日本テレビ系「#金曜ロードショー」にて、『劇場版 ヴァイオレット・エヴァーガーデン』の初放送が決定しました! 放送日:11月25日(金)21:00~ 圧倒的映像美と、心揺さぶる愛の物語を地上波でぜひお楽しみください! https://t.co/1fiA6ZGQwx #ヴァイオレット・エヴァーガーデン #VioletEvergarden https://t.co/DrKTFb2RXu
RT @kinro_ntv: 👓✨発表✨👓 最新作公開記念 2週連続 名探偵コナン 4月7日🎃初放送 「#名探偵コナンハロウィンの花嫁」 4月14日🀄 「#名探偵コナン漆黒の追跡者」 https://t.co/eATRKxeHPX
RT @M1GRANDPRIX: 🏆M-1グランプリ2022🏆 史上最多7,261組の頂点に輝いたコンビは… 👑 #ウエストランド ❗❗ #M1 #M1グランプリ #M1GP2022 #M1グランプリ決勝戦
RT @GermanyinJapan: 日本代表の皆様、おめでとうございます!!!フェアで熱い試合をありがとうございました🇩🇪⚽️🇯🇵 おやすみなさい。 #GERvsJPN #eKickoff @GI_Tokyo https://t.co/6RNgBSteBu
#ヒプマイ8thライブ #madtriggercrew 行ってきました!ハードコアな横浜炸裂でひたすらカッコよかった!!初のディビジョンごとのライブ最高!DRBの曲も横浜のところを歌ってくれて感動!皆さんの青い海が綺麗だった!次は大阪!! #ヒプマイ #hypnosismic @komaDwataru @s_kamio113 @hypnosismic https://t.co/IV0fTMB9A7
Key Insights & Takeaways
The user frequently shares experiences from live events and concerts, indicating a passion for live entertainment. They have a strong connection to Japanese pop culture, including music and anime. Their content often includes links and hashtags, suggesting a focus on community and fan interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 100,897
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @sascha348 reveals an well-established Twitter presence with 100,897 followers. The account demonstrates a content-creator strategy, averaging 318.5 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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